Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

IBM Big Data Hub

SEPTEMBER 25, 2023

The magic behind Uber’s data-driven success Uber, the ride-hailing giant, is a household name worldwide. But what most people don’t realize is that behind the scenes, Uber is not just a transportation service; it’s a data and analytics powerhouse.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

AWS Big Data

JUNE 21, 2023

This approach comes with a heavy computational cost in terms of processing and distributing the data across multiple tables while ensuring the system is ACID-compliant at all times, which can negatively impact performance and scalability. These types of queries are suited for a data warehouse. This is called index overloading.

Data Warehouse 90

Data Warehouse Data Lake OLAP Cost-Benefit 90

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. A data hub contains data at multiple levels of granularity and is often not integrated. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 78

Analytics Data Warehouse Data Lake Metadata 78

BizAcuity

AUGUST 1, 2022

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. The web-scale platform enables users to share interactive dashboards and data from a single page with individuals across the enterprise. Source: [link] ].

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

AWS Big Data

AUGUST 6, 2024

Online Analytical Processing (OLAP) is crucial in modern data-driven apps, acting as an abstraction layer connecting raw data to users for efficient analysis. It organizes data into user-friendly structures, aligning with shared business definitions, ensuring users can analyze data with ease despite changes.

OLAP 93

OLAP Analytics Visualization Dashboards 93

AWS Big Data

AUGUST 1, 2024

The data warehouse is highly business critical with minimal allowable downtime. Identify all upstream and downstream applications, as well as business processes that rely on the data warehouse. This requires a dedicated team of 3–7 members building a serverless data lake for all data sources.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99